Tether Releases Offline AI Translation Models For African And European Languages
TL;DR
- Tether launched open-source AI translation models that work offline on everyday devices for 19 African and 9 European languages.
- The AfriSLM model, with just 800 million parameters, outperformed much larger systems such as Qwen3.5-122B and TranslateGemma-27B across three benchmarks.
- A new filtering method eliminates up to 96% of low-quality training data, enabling higher performance with more compact models.
Tether announced the release of new families of open-source artificial intelligence translation models, designed to run directly on smartphones, laptops and other devices used in everyday life without requiring an internet connection.
The launch includes three models under the QVAC family: TranslatePsy-AfriSLM, which supports 19 African languages; QVAC TranslatePsy-AfriNano, covering 8 languages; and QVAC TranslatePsy-EuroNano, oriented toward 9 European languages.
The models process translations locally, meaning that user data remains on the device and is not sent to external servers. This decentralized architecture allows them to operate in areas with poor or no connectivity, a common condition in the sub-Saharan African communities that Tether’s project primarily targets.
… Continue reading the full article at the original source below.
